code: def test_plot_efrontier():
      d = d_pass[4]
      pf = build_portfolio(**d)
      # Clear the current figure to ensure a fresh plot
      plt.clf()
      # Create the plot
      pf.ef_plot_efrontier()
      # Assert that the plot was created
      assert len(plt.gcf().get_axes()) == 1
  
      # get title, axis labels and axis min/max values
      ax = plt.gca()
      title = ax.get_title()
      xlabel = ax.get_xlabel()
      ylabel = ax.get_ylabel()
      xlim = ax.get_xlim()
      ylim = ax.get_ylim()
  
      # expected values:
      expected_title = "Efficient Frontier"
      expected_xlable = "Volatility"
      expected_ylable = "Expected Return"
      expected_xlim = (0.12504, 0.29359)
      expected_ylim = (0.05445, 0.50655)
  
      # assert on title, labels and limits
      assert title == expected_title
      assert xlabel == expected_xlable
      assert ylabel == expected_ylable
      assert xlim == pytest.approx(expected_xlim, 1e-3)
      assert ylim == pytest.approx(expected_ylim, 1e-3)
  
imports: import datetime
  import os
  import pathlib
  import matplotlib.pylab
  import numpy
  import pandas
  import pytest
  import quandl
  import yfinance
  from finquant.efficient_frontier import EfficientFrontier
  from finquant.portfolio import Portfolio, build_portfolio
  from finquant.stock import Stock
label_desc: Use image node_id 15 for calling a global function with example usage: test_plot_efrontier() without return types